Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.

Python for Financial Analysis and Algorithmic Trading

Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!

This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

We'll cover the following topics used by financial professionals:

Python Fundamentals

NumPy for High Speed Numerical Processing

Pandas for Efficient Data Analysis

Matplotlib for Data Visualization

Using pandas-datareader and Quandl for data ingestion

Pandas Time Series Analysis Techniques

Stock Returns Analysis

Cumulative Daily Returns

Volatility and Securities Risk

EWMA (Exponentially Weighted Moving Average)

Statsmodels

ETS (Error-Trend-Seasonality)

ARIMA (Auto-regressive Integrated Moving Averages)

Auto Correlation Plots and Partial Auto Correlation Plots

Sharpe Ratio

Portfolio Allocation Optimization

Efficient Frontier and Markowitz Optimization

Types of Funds

Order Books

Short Selling

Capital Asset Pricing Model

Stock Splits and Dividends

Efficient Market Hypothesis

Algorithmic Trading with Quantopian

Futures Trading

Who is the target audience?

Someone familiar with Python who wants to learn about Financial Analysis!

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions.